| Title |
Genetic variations using whole-exome sequencing might predict response for neoadjuvant chemoradiotherapy in locally advanced rectal cancer
|
|---|---|
| Published in |
Medical Oncology, September 2018
|
| DOI | 10.1007/s12032-018-1202-8 |
| Pubmed ID | |
| Authors |
In Hee Lee, Keunsoo Kang, Byung Woog Kang, Soo jung Lee, Woo Kyun Bae, Jun Eul Hwang, Hye Jin Kim, Su Yeon Park, Jun Seok Park, Gyu Seog Choi, Jong Gwang Kim |
| Abstract |
A good pathologic response to neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer (LARC) is associated with a better prognosis. However, there is no effective method to predict CRT response in LARC patients. Therefore, this study used whole-exome sequencing (WES) to identify novel biomarker predicting CRT benefit in LARC. Two independent tumor tissue sets were used to evaluate the genetic differences between the good CRT response group (15 patients achieved a pathologic complete response (pCR)) and the poor CRT response group (15 patients with pathologic stage III). After applying WES to the discovery set of 30 patients, additional samples (n = 67) were genotyped for candidate variants using TaqMan or Sanger sequencing for validation. Overall, this study included a total of 97 LARC patients. In the discovery and validation set, there was no known genetic mutation to predict response between two groups, while five candidate variants (BCL2L10 rs2231292, DLC1 rs3816748, DNAH14 rs3105571, ITIH5 rs3824658, and RAET1L rs912565) were found to be significantly associated with pCR. In the dominant model, the GC/CC genotype of DLC1 rs3816748 (p = 0.032), AC/CC genotype of DNAH14 rs3105571 (p = 0.009), and TT genotype of RAET1 rs912565 (p < 0.0001) were associated with a higher pCR rate. In the recessive model, BCL2L10 rs2231292 (p = 0.036) and ITIH5 rs3824658 (p = 0.003) were significantly associated with pCR. In the co-dominant model, 4 candidate variants (DLC1 rs3816748, DNAH14 rs3105571, ITIH5 rs3824658, and RAET1L rs912565) were significantly correlated with pCR. However, none of the candidate variants was associated with relapse-free or overall survival. The present results suggest that genetic variations of the BCL2L10 rs2231292, DLC1 rs3816748, DNAH14 rs3105571, ITIH5 rs3824658, and RAET1L rs912565 genes can be used as biomarkers predicting the CRT response for patients with LARC. |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 21% |
| Student > Ph. D. Student | 4 | 17% |
| Other | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 29% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Nursing and Health Professions | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2022.
All research outputs
#3,789,448
of 22,828,180 outputs
Outputs from Medical Oncology
#75
of 1,291 outputs
Outputs of similar age
#75,789
of 336,726 outputs
Outputs of similar age from Medical Oncology
#4
of 17 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,291 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 93% of its peers.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.